2. 2rd-alliance.org @resdatall | @rda_europe
Vision
Researchers and innovators openly
share data across technologies,
disciplines, and countries to address
the grand challenges of society.
Mission
RDA builds the social and technical
bridges that enable open sharing of
data.
THE RESEARCH DATA ALLIANCE
www.rd-alliance.org
building the social and technical bridges that enable open
sharing of data
32 FLAGSHIP OUTPUTS
of which 4 ICT Technical
Specifications
75 ADOPTION CASES
across multiple
disciplines,
organisations &
countries
87 GROUPS WORKING ON GLOBAL DATA
INTEROPERABILITY CHALLENGES
of which 32 WORKING GROUPS
& 55 INTEREST GROUPS
8,810 INDIVIDUAL MEMBERS FROM 137
COUNTRIES
68% Academia & Research
14,1% Public Administration
12,7% Enterprise & Industry
50 ORGANISATIONAL MEMBERS &
9 AFFILIATE MEMBERS
09/08/2019
3. What is RDA?
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RDA is an international member based organization focused on the development of infrastructure and
community activities that reduce barriers to data sharing and exchange, and the acceleration of data
driven innovation worldwide.
With more than 8,800 members globally representing 137 countries, RDA includes researchers,
scientists and data science professionals working in multiple disciplines, domains and thematic fields
and from different types of organisations across the globe.
RDA is building the social and technical bridges that enable open sharing of data to achieve its vision of
researchers and innovators openly sharing data across technologies, disciplines, and countries to address the
grand challenges of society.
4. What does RDA do?
Reproducibility
Data preservation
Best practices for domain repositories
Legal interoperability
Data citation
Data type registries
Metadata
and so many more!
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Members come together through self-formed, volunteer, focussed Working Groups, exploratory
Interest Groups to exchange knowledge, share discoveries, discuss barriers and potential solutions,
explore and define policies and test as well as harmonise standards to enhance and facilitate
global data sharing & re-use.
RDA members collaborate together across the globe to tackle numerous infrastructure & data
sharing challenges related to:
5. Who Can Join RDA?
Any individual or organization, regardless of profession or discipline,
with an interest in reducing the barriers to data sharing and re-use
and who agrees to RDA’s guiding principles of:
Openness
Consensus
Balance
Harmonization
Community-driven
Non-profit and technology-neutral
Individual Membership is free at https://www.rd-alliance.org/user/register
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6. Why Join RDA as an Individual Member?
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Individual Member Benefits
Contribute to acceleration of data infrastructure development
Work and share experiences with collaborators throughout the world
Access to extraordinary network of colleagues with various levels of
experience, perspectives and practices
Gain greater expertise in data science regardless of whether one is a
student, early or seasoned career professional
Enhance the quality and effectiveness of personal work and activities
Improve one’s competitive advantage professionally and positioning
oneself for leadership within the broader research community
Individual RDA Members 8,810
7. Who is RDA – Worldwide Growth
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8. Who is RDA – Organisation type
09/08/2019 rd-alliance.org @resdatall | @rda_europe 8
9. Who is RDA – Professional Title
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10. Who is RDA – Geographical Distribution
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RDA members come from 137 different countries
11. Why Join RDA as an Organisational Member?
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Organisational Member Benefits
◦ Provide an organizational perspective on the work of RDA and ability to influence RDA’s direction
◦ Assist in implementation & adoption of RDA Recommendations & Outputs
◦ Participate in all RDA Organizational Forums
◦ Receive regular updates on the work of the RDA
◦ Attend Organizational Assembly meetings and vote on proposed policies for consideration by the
RDA Council and for members of the Organizational Advisory Board
◦ Provide advice to RDA Council through the Organizational Advisory Board
◦ Be recognized on the RDA Website and at RDA Meetings as a supporter of data interoperability
50 Organisational & 9 Affiliate Members
12. RDA Organisational & Affiliate Members
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50 Organisational &
9 Affiliate Members
13. RDA active Interest (IG) & Working Groups by
focus (1/3)
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Domain Science - focused
Agrisemantics WG
FAIRSharing Registry WG
Capacity Development for Agriculture Data WG
On-Farm Data Sharing (OFDS) WG
Rice Data Interoperability WG
Wheat Data Interoperability WG
Reproducible Health Data Services WG
Preserving Scientific Annotation WG
Agricultural Data IG (IGAD)
Biodiversity Data Integration IG
Chemistry Research Data IG
Digital Practices in History and Ethnography IG
ESIP/RDA Earth, Space, and Environmental Sciences IG
Geospatial IG
Global Water Information IG
Health Data IG
Linguistics Data IG
RDA/CODATA Materials Data, Infrastructure & Interoperability IG
Research data needs of the Photon and Neutron Science community IG
Small Unmanned Aircraft Systems’ Data IG
From Observational Data to Information IG
Social Sciences & Humanities Research Data IG
Research Data Management in Engineering
Total 87 groups:
32 Working Groups & 55 Interest Groups
Partnership Groups
RDA / TDWG Metadata Standards for attribution of physical and digital
collections stewardship WG
RDA/WDS Scholarly Link Exchange WG
RDA/WDS Publishing Data Workflows WG
ELIXIR Bridging Force IG
RDA/NISO Privacy Implications of Research Data Sets IG
14. RDA active Interest (IG) & Working Groups by
focus (2/3)
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Total 87 groups:
32 Working Groups & 55 Interest Groups
Reference and Sharing – focused
Data Citation WG
Data Description Registry Interoperability WG
Empirical Humanities Metadata WG
International Materials Resource Registries WG
Research Data Collections WG
Research Data Repository Interoperability WG
Data Usage Metrics WG
Data Discovery Paradigms IG
National Data Services IG
RDA/CODATA Legal Interoperability IG
Reproducibility IG
Sharing Rewards and Credit (SHARC) IG
Community Needs – focused
RDA/CODATA Summer Schools in Data Science and Cloud Computing in the
Developing World WG
CODATA/RDA Research Data Science Schools for Low and Middle Income Countries
Archives & Records Professionals for Research Data IG Data for Development IG
Early Career and Engagement IG
Education and Training on handling of research data IG
Ethics and Social Aspects of Data IG
International Indigenous Data Sovereignty IG
Open Questionnaire for Research Data Sharing Survey IG
Data for Development IG
Research Funders and Stakeholders on Open Research and Data Management Policies
and Practices IG
15. RDA active Interest (IG) & Working Groups by
focus (3/3)
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Base Infrastructure – focused
Array Database Assessment WG
Data Type Registries WG
Metadata Standards Catalog WG
PID Kernel Information WG
Persistent Identification of Instruments WG
Software Source Code ID WG
Data Fabric IG
Data Foundations and Terminology IG
Disciplinary Interoperability Framework IG
Big Data IG
Metadata IG
PID IG
Software Source Code IG
Vocabulary Services IG
Federated Identity Management IG
Data Economics IG
Data Stewardship and Services – focused
Brokering Framework WG
DMP Common Standards WG
Exposing Data Management Plans WG
WDS/RDA Assessment of Data Fitness for Use WG
Data Versioning WG
FAIR Data Maturity Model WG
Active Data Management Plans IG
Data in Context IG
Data Rescue IG
Domain Repositories IG
Virtual Research Environments IG
Libraries for Research Data IG
Physical Samples and Collections in the Research Data Ecosystem IG
Preservation Tools, Techniques, and Policies IG
RDA/WDS Certification of Digital Repositories IG
Repository Platforms for Research Data IG
Research Data Architectures in Research Institutions IG
Data policy standardisation and implementation IG
GO FAIR IG
Open Science Graphs IG
Total 87 groups:
32 Working Groups & 55 Interest Groups
16. RDA Historical Groups
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Historical Groups
Brokering Governance WG
Metadata Standards Directory WG
PID Information Types WG
Practical Policy WG
RDA/WDS Publishing Data Bibliometrics WG
RDA/WDS Publishing Data Services WG
Repository Audit and Certification DSA–WDS Partnership WG
Data Foundations and Terminology WG
Provenance Patterns WG
Mapping the Landscape IG
Preservation e-Infrastructure IG
Quality of Urban Life IG
Development of Cloud Computing Capacity and Education in Developing
World Research IG
Weather, Climate and Air quality IG
Structural Biology IG
RDA/WDS Publishing Data Cost Recovery for Data Centres IG
Marine Data Harmonization IG
RDA/WDS Publishing Data IG
Brokering IG
Research Data Provenance IG
Long tail of research data IG
9 Groups
17. RDA Recommendations that make data work
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Adopted code, policy, specifications, standards, or practices that enable data sharing
“Harvestable” efforts for which 12-18 months of work can eliminate a roadblock
Efforts that have substantive applicability to groups within the data community but may not
apply to all
Efforts that can start today
“Create - Adopt - Use”
32 flagship recommendations & outputs with over 75 cases of adoption in different domains, organisations and countries
18. RDA Recommendations & Outputs
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THE RDA OUTCOMES LEGEND
Recommendations: are the flagship outputs of RDA. They are RDA’s equivalent of the
“specifications” or “standards” that other organisations create and endorse. The
process for creating and endorsing these is already defined.
Supporting Outputs: are the outputs of RDA WGs and IGs that are fruit of RDA work,
but are not necessarily adoptable bridges. “Upon request”, these sort of outputs go
through a community comment period and if no major objections or gaps are identified
they get the RDA Brand.
Other Outputs: include workshop reports, published articles, survey results, etc.
Anything a WG or IG wants to register and report. Upon request, these are published
and discoverable on the RDA website but have no level of endorsement.
19. RDA Recommendations
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rd-alliance.org/recommendations-and-outputs/all-recommendations-and-outputs
Data Foundation & Terminology Model: produced by the Data Foundation &
Terminology WG which ensures researchers use a common terminology when referring
to data.
PID Information Types API: persistent Identifier Type Registry produced by the PID
Information Types WG, a conceptual model for structuring typed information to better
identify PIDs, common interface for access to this information.
The Data Type Registries Model: published by the Data Type Registries WG providing
machine-readable and researcher-accessible registries of data types that support the
accurate use of data
Practical Policies Recommendations: defining best practices of how to deal with data
automatically and in a documented way with computer actionable policy.
20. RDA Recommendations
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Dynamic-data Citation Methodology: Supports efficient processing of data and linking
from publications.
Data Description Registry Interoperability Model: Interoperability model addressing
the problem of cross platform discovery by connecting datasets together.
Metadata standards directory Recommendations: Community curated standards
catalogue for metadata interoperability
Research Data Collections Recommendations:
A comprehensive model for actionable collections and a technical interface
specification to enable client-server interaction.
rd-alliance.org/recommendations-and-outputs/all-recommendations-and-outputs
21. RDA Recommendations
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Wheat Data Interoperability Recommendations: impacting the discoverability, reusability
and interoperability of wheat data by building a common framework for describing,
representing linking and publishing wheat data
Brokering Governance Recommendations: Sustainable Business Models for Brokering
Middleware to support Research Interoperability
RDA/CODATA Summer Schools in Data Science and Cloud Computing in the Developing
World Recommendations: A framework to run a series of Summer Schools in Data Science
and data sharing in low and middle income countries (LMICs)
Research Data Repository Interoperability WG Final Recommendations: interoperable
packaging and exchange format for digital content.
rd-alliance.org/recommendations-and-outputs/all-recommendations-and-outputs
22. RDA Recommendations
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RDA/WDS Repository Audit and Certification Catalogues:
Creates harmonized Common Procedures for certification of repositories at the basic level,
drawing from the procedures already put in place by the Data Seal of Approval (DSA) and the
ICSU World Data System (ICSU-WDS).
RDA/WDS Workflows for Research Data Publishing Model:
A data-publishing reference model assisting research communities in understanding options
for data publishing workflows and increases awareness of emerging standards and best
practices.
Research Data Interoperability WG Final Recommendations: Provides recommendations with
respect to an interoperable packaging and exchange format for digital content.
rd-alliance.org/recommendations-and-outputs/all-recommendations-and-outputs
23. RDA Recommendations
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RDA/WDS Publishing Data Services: An open, universal literature-data cross-linking service
to improve data visibility, discoverability, re-use and reproducibility.
FAIRsharing: standards, databases, repositories and policies - Final Recommendation:
Guide for citation and its implementation in a registry of standards, databases and data policies
RDA/TDWG Attribution Metadata Working Group: Final Recommendations: Supports
standardized metadata for attributing work and tracking provenance in the curation and
maintenance of research collections.
PID Kernel Information Working Group: A set of guiding principles, architectural
considerations, use cases and a fundamental metadata schema to manage information in
Persistent Identifier records for scalable middleware infrastructure and automated
processes.
rd-alliance.org/recommendations-and-outputs/all-recommendations-and-outputs
25. RDA Supporting Outputs
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23 Things: Libraries For Research Data:
An overview by of practical, free, online resources and tools that users can immediately take advantage of to incorporate
research data management into the practice of librarianship.
A survey of current practices in data search services:
based on an examination of practices that data repositories employ in helping users search their holdings and common data
discovery issues, such as relevancy.
Addressing the Gaps: Recommendations for Supporting the Long Tail of Research Data:
seven recommendations for a variety of stakeholders, including governments, funders, research institutions and researchers
to help improve the current approach to managing long tail data.
Data Discovery Paradigms: User Requirements and Recommendations for Data Repositories: help data repositories improve
search and discovery of their data.
Eleven Quick Tips for Finding Research Data:
to educate and train research students and early career researchers, and to help researchers more effectively and precisely
discover data that meets their specific needs.
26. RDA Supporting Outputs
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Income Streams for Data Repositories:
insight for Data Centre managers and Research Infrastructures into alternative options for cost recovery, substantiated by the
results from a survey of over twenty data centres around the globe, and in different domains.
Legal Interoperability of Research Data: Principles and Implementation Guidelines:
A set of principles and practical implementation guidelines offered as high-level guidance to all members of the research
community who are engaged in activities that involve the access to and reuse of research data from diverse sources.
Matrix of use cases and functional requirements for research data repository platforms:
Based on use cases, the matrix describes forty-four functional requirements identified for research data repository platforms
and provides a score identifying relative importance.
Research Data Repository Interoperability Primer:
set of initial use cases, as well as an overview of standards, technologies and tools that could be components of an agreed
adoptable approach to facilitating interoperability between different research data repository platforms.
27. RDA Supporting Outputs
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Persistent identifiers: Consolidated assertions:
a set of assertions about the nature, the creation and the usage of Persistent Identifiers (PIDs). It is not meant to
produce yet another comprehensive document on PIDs, but to identify agreements across documents that have
been suggested to be included by experts.
Summary of Virtual Layer Recommendations:
Provides a high-level conceptual framework to support Digital Object management and service development.
Federated Identity Management for Research Collaborations:
common requirements of Research Communities seeking to leverage Identity Federation for Authentication and
Authorisation
Results of an Analysis of Existing FAIR Assessment Tools:
First result of the FAIR Data Maturity Model WG, based on the analysis of existing approaches related to FAIR self-
assessment tools. Questions and options stemming from theses different approaches were classified according to the
FAIR principles/facets.
28. The RDA CoreTrustSeal Adoption Story across
domains and regions
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Recent Adoption Story
Discover more
Strasbourgastronomical Data Centre CDS(Centre de Données
astronomique de Strasbourg)servicesare widelyused bythe
worldwide astronomical community. Themillion queriesper day
show that it isconsidered asfullytrustworthyin the disciplinary
context. When the World Data System (WDS)defined itscriteria for
Regular membership,CDSconsidered it important to join this
community, which wasinitiallyEarth Sciencesand Astronomy,in
2012. Few yearslater, CDSapplied to the Data Seal of Approval
(DSA), which it obtained in 2014 — the first time the Seal was
granted to a repository from the physicalscience domain. It was
then only a naturalstep to applyfor CoreTrustSeal when it wastime to renew the DSA in 2018.
CoreTrustSeal offers to any interested data repository a core level certification based on the DSA–WDS Core Trustworthy Data
Repositories Requirements catalogue and procedures.
Strasbourg astronomical Data Centre (CDS)
29. Call for Supporting and Other RDA Outputs
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RDA Recommendations and Outputs take the form of technical specifications, code, policies or practices, harmonized
standards or reference models. In the widest sense these aim for:
Greater data sharing, exchange, interoperability, usability and re-usability;
Greater discoverability of research data sets;
Better management, stewardship, and preservation of research data;
New data standards or harmonization of existing standards.
Become one of the next RDA adopters!
If you are interested in any of the RDA’s recommendations or would like to
share your group's results with our international community, please fill the
contact form at https://www.rd-alliance.org/interest-rda-recommendations or
write to enquiries@rd-alliance.org. RDA Adoption & Implementation
Stories - Tell us yours!
30. What are Plenary Meetings?
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• Organised around the world every 6 months
• exciting & productive events bringing together a unique community of data
science professionals, from multiple disciplines and domains;
• help move the community forward in creating tangible deliverables that
improve data sharing across disciplines, technologies, and countries;
• heart of the plenaries are working meetings of RDA Working & Interest
groups and new potential groups through Birds of a Feather meetings
• presentation of new Outputs and Adoption cases
31. Plenary Meetings: benefits of attending
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Exchange knowledge, share discoveries, discuss barriers and potential
solutions
Expand your network and meet new committed and passionate data
science professionals, working in multiple disciplines
Contribute to acceleration of data infrastructure development
Learn about new trends, strategies, research developments, directions and
policies
32. 09/08/2019 rd-alliance.org @resdatall | @rda_europe 32
62 breakout meetings over the 8 allocated RDA sessions.
13 of those were Birds of a Feather (BoF),
13 working groups
30 Interest groups
14 joint group meetings to cross fertilise amongst groups with a common interest or activity focus.
RDA Plenary 13
Attendees at P13
Continent Countries Total Delegates
North America 2 213
Europe 17 164
Asia 7 24
Oceania 1 20
South America 3 8
Africa 4 6
Organised by:
Held on 2 - 4 April 2019
Philadelphia, PA
Total Participants: 435